Computer Vision Data Annotation Services

Expert data annotation services ensured by a full-time in-house workforce, offering top-quality annotations for your image and video data.

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How do we ensure quality?

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Vetted Annotators

No outsourcing to random people! Our full-time, in-house annotators are thoroughly vetted, trained, and professionally managed to provide high-quality work.

QA Team

Our expert quality assurance teams oversee the annotators to ensure that the data meets your high standards. They carefully check everything to make sure it's accurate and reliable.

Annotation Project Manager

A dedicated project manager takes care of all the steps in your data project. They handle the entire process—setting up the data, managing the annotation team, and making sure everything runs smoothly. They import your data, organize the categories, provide instructions, and ensure the final results are delivered.

Compute Vision Services We Provide

bounding-box

We use rectangular boxes to mark important objects in an image, helping your computer vision system recognize and identify them accurately.

polygons

Polygons are used to draw precise shapes around objects in images, allowing for detailed detection and classification. This method is perfect for tasks like multi-object detection.

image-segmentation

Image segmentation breaks an image into different areas, each representing a specific object or region. Our team labels each pixel to help computers understand the image in detail.

key-points

We mark specific points in images to identify important features or objects, ensuring accurate labeling and consistency.

3d-cuboids

We draw 3D boxes around objects to represent their size and shape in space. This is useful for tasks like tracking and recognizing objects in 3D environments.

image-classification

We categorize images based on their content, such as identifying objects or scenes. This helps organize and analyze images efficiently.

video-annotation

We go through each video frame by frame to label objects, actions, and events, creating a useful dataset for training models in object detection and tracking.

Our Open Datasets

Explore our high-quality open datasets, carefully annotated and available for free use in your research and AI projects.

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Soccer Semantic Segmentation

We created a dataset from a football match between Barcelona and Atlético de Madrid. By extracting one image every 10 frames from the video, we carefully selected 100 high-quality images, removing any blurred frames. Our team then applied semantic segmentation to the dataset

Get a free pilot project!